Build Matrix VI

Owning Palette: Matrix VIs

Requires: Multicore Analysis and Sparse Matrix Toolkit

Builds four sparse matrices by column and then by row.

Details  

Build Sparse Matrix (DBL)

	A specifies the first sparse matrix. The number of rows in A must be equal to the number of rows in B. The number of columns in A must be equal to the number of columns in C.
	B specifies the second sparse matrix. The number of rows in B must be equal to the number of rows in A. The number of columns in B must be equal to the number of columns in D.
	C specifies the third sparse matrix. The number of rows in C must be equal to the number of rows in D. The number of columns in C must be equal to the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	D specifies the fourth sparse matrix. The number of rows in D must be equal to the number of rows in C. The number of columns in D must be equal to the number of columns in B.
	Appended Matrix returns the appended sparse matrix of A, B, C, and D.
	error out contains error information. This output provides standard error out functionality.

Build Sparse Matrix (SGL)

	A specifies the first sparse matrix. The number of rows in A must be equal to the number of rows in B. The number of columns in A must be equal to the number of columns in C.
	B specifies the second sparse matrix. The number of rows in B must be equal to the number of rows in A. The number of columns in B must be equal to the number of columns in D.
	C specifies the third sparse matrix. The number of rows in C must be equal to the number of rows in D. The number of columns in C must be equal to the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	D specifies the fourth sparse matrix. The number of rows in D must be equal to the number of rows in C. The number of columns in D must be equal to the number of columns in B.
	Appended Matrix returns the appended sparse matrix of A, B, C, and D.
	error out contains error information. This output provides standard error out functionality.

Build Sparse Matrix (CDB)

	A specifies the first sparse matrix. The number of rows in A must be equal to the number of rows in B. The number of columns in A must be equal to the number of columns in C.
	B specifies the second sparse matrix. The number of rows in B must be equal to the number of rows in A. The number of columns in B must be equal to the number of columns in D.
	C specifies the third sparse matrix. The number of rows in C must be equal to the number of rows in D. The number of columns in C must be equal to the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	D specifies the fourth sparse matrix. The number of rows in D must be equal to the number of rows in C. The number of columns in D must be equal to the number of columns in B.
	Appended Matrix returns the appended sparse matrix of A, B, C, and D.
	error out contains error information. This output provides standard error out functionality.

Build Sparse Matrix (CSG)

	A specifies the first sparse matrix. The number of rows in A must be equal to the number of rows in B. The number of columns in A must be equal to the number of columns in C.
	B specifies the second sparse matrix. The number of rows in B must be equal to the number of rows in A. The number of columns in B must be equal to the number of columns in D.
	C specifies the third sparse matrix. The number of rows in C must be equal to the number of rows in D. The number of columns in C must be equal to the number of columns in A.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	D specifies the fourth sparse matrix. The number of rows in D must be equal to the number of rows in C. The number of columns in D must be equal to the number of columns in B.
	Appended Matrix returns the appended sparse matrix of A, B, C, and D.
	error out contains error information. This output provides standard error out functionality.

Build Matrix Details

The following table lists the support characteristics of this VI.

Supported on RT targets	Yes
Suitable for bounded execution times on RT	No

Let A be an m-by-n matrix, B an n-by-q matrix, C a p-by-n matrix, and D a p-by-q matrix. LabVIEW returns H, the appended matrix of A, B, C, and D by completing the following steps.

1. Concatenate A and B by column to get matrix F.
2. Concatenate C and D by column to get matrix G.
3. Concatenate F and G by row to get matrix H.

H is a (m+p)-by-(n+q) matrix.